{"id":"W2901195884","doi":"10.5958/2249-5576.2018.00027.4","title":"A Scientometric Appraisal of Global Research Output on Swine Flu with Special Reference to India During 1993–2017","year":2018,"lang":"en","type":"article","venue":"International Journal of Information Dissemination and Technology","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Veterinary medicine; Mathematics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007280501,0.001347426,0.002378496,0.1379283,0.001190783,0.005109183,0.0007467979,0.0006155237,0.006746165],"category_scores_gemma":[0.03785321,0.0003421905,0.002673409,0.269208,0.000998823,0.002353759,0.003047011,0.0006221392,0.001906919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005294841,"about_ca_system_score_gemma":0.0072433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01934277,"about_ca_topic_score_gemma":0.01844617,"domain_scores_codex":[0.9864438,0.002053995,0.0031506,0.0007830024,0.006616855,0.0009518217],"domain_scores_gemma":[0.938437,0.01803625,0.01429297,0.001943975,0.02474197,0.002547751],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009378052,0.0001930505,0.4870421,0.03173705,0.004240351,0.001236554,0.003222456,0.004630284,0.001098443,0.007172533,0.1287623,0.3297271],"study_design_scores_gemma":[0.00002557306,0.0001863322,0.9054067,0.003050409,0.0008812091,0.000522924,0.003095461,0.001512854,0.0003499229,0.0008311849,0.08405519,0.00008239166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3811387,0.2064613,0.002918599,0.01129205,0.001609167,0.0007698128,0.2983519,0.0008286076,0.09662978],"genre_scores_gemma":[0.7880253,0.1035456,0.003697093,0.0006722615,0.002250871,0.0006403639,0.09518644,0.0001826637,0.005799409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9927195,"threshold_uncertainty_score":0.03850341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.035261717844324,"score_gpt":0.3645283952867115,"score_spread":0.3292666774423876,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}